CN116350873A - Automatic heart radiography auxiliary platform - Google Patents
Automatic heart radiography auxiliary platform Download PDFInfo
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- CN116350873A CN116350873A CN202111626482.8A CN202111626482A CN116350873A CN 116350873 A CN116350873 A CN 116350873A CN 202111626482 A CN202111626482 A CN 202111626482A CN 116350873 A CN116350873 A CN 116350873A
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- 238000002601 radiography Methods 0.000 title claims abstract description 17
- 230000000747 cardiac effect Effects 0.000 claims abstract description 47
- 239000002872 contrast media Substances 0.000 claims abstract description 39
- 238000003384 imaging method Methods 0.000 claims abstract description 27
- 239000008280 blood Substances 0.000 claims abstract description 19
- 210000004369 blood Anatomy 0.000 claims abstract description 19
- 210000000709 aorta Anatomy 0.000 claims abstract description 9
- 238000003780 insertion Methods 0.000 claims abstract description 4
- 230000037431 insertion Effects 0.000 claims abstract description 4
- 238000000034 method Methods 0.000 claims description 8
- 238000002583 angiography Methods 0.000 claims description 6
- 238000001514 detection method Methods 0.000 claims description 6
- 230000008030 elimination Effects 0.000 claims description 3
- 238000003379 elimination reaction Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000012163 sequencing technique Methods 0.000 claims description 2
- 230000001105 regulatory effect Effects 0.000 abstract description 2
- 229940039231 contrast media Drugs 0.000 abstract 3
- 230000000875 corresponding effect Effects 0.000 description 37
- 210000004351 coronary vessel Anatomy 0.000 description 5
- 230000000694 effects Effects 0.000 description 5
- 238000002347 injection Methods 0.000 description 3
- 239000007924 injection Substances 0.000 description 3
- 206010020751 Hypersensitivity Diseases 0.000 description 2
- MBBZMMPHUWSWHV-BDVNFPICSA-N N-methylglucamine Chemical class CNC[C@H](O)[C@@H](O)[C@H](O)[C@H](O)CO MBBZMMPHUWSWHV-BDVNFPICSA-N 0.000 description 2
- 210000004204 blood vessel Anatomy 0.000 description 2
- 238000002586 coronary angiography Methods 0.000 description 2
- 231100000331 toxic Toxicity 0.000 description 2
- 230000002588 toxic effect Effects 0.000 description 2
- 229920000742 Cotton Polymers 0.000 description 1
- 208000005374 Poisoning Diseases 0.000 description 1
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- FAPWRFPIFSIZLT-UHFFFAOYSA-M Sodium chloride Chemical compound [Na+].[Cl-] FAPWRFPIFSIZLT-UHFFFAOYSA-M 0.000 description 1
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- 210000004556 brain Anatomy 0.000 description 1
- 238000002585 cerebral angiography Methods 0.000 description 1
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- 238000011109 contamination Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000010102 embolization Effects 0.000 description 1
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Classifications
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/007—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests for contrast media
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1073—Measuring volume, e.g. of limbs
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4836—Diagnosis combined with treatment in closed-loop systems or methods
- A61B5/4839—Diagnosis combined with treatment in closed-loop systems or methods combined with drug delivery
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61M—DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY; DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY; DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR
- A61M5/00—Devices for bringing media into the body in a subcutaneous, intra-vascular or intramuscular way; Accessories therefor, e.g. filling or cleaning devices, arm-rests
- A61M5/14—Infusion devices, e.g. infusing by gravity; Blood infusion; Accessories therefor
- A61M5/168—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body
- A61M5/172—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body electrical or electronic
- A61M5/1723—Means for controlling media flow to the body or for metering media to the body, e.g. drip meters, counters ; Monitoring media flow to the body electrical or electronic using feedback of body parameters, e.g. blood-sugar, pressure
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
- G06T11/003—Reconstruction from projections, e.g. tomography
- G06T11/008—Specific post-processing after tomographic reconstruction, e.g. voxelisation, metal artifact correction
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A50/00—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE in human health protection, e.g. against extreme weather
- Y02A50/30—Against vector-borne diseases, e.g. mosquito-borne, fly-borne, tick-borne or waterborne diseases whose impact is exacerbated by climate change
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Abstract
The invention relates to an automated cardiac imaging assistance platform, comprising: an insertion catheter for placement into the aorta of a current patient for injecting contrast medium into the blood inside the aorta; a volume selection device connected to the catheter for determining a volume of contrast agent injected into the patient by the catheter, i.e. a current required volume; a contrast media drive pump is disposed within the catheter for delivering a corresponding volume of contrast media drawn from the contrast media storage container into the catheter based on a received current desired volume. The automatic heart radiography auxiliary platform is reliable in logic and intelligent in design. The volume of the current patient can be estimated by adopting a customized identification mechanism, and the cardiac contrast medium amount of the current patient is regulated in real time based on the estimation result, so that the clear contrast requirements of cardiac patients with different volumes are met.
Description
Technical Field
The invention relates to the field of cardiac radiography instruments, in particular to an automatic cardiac radiography auxiliary platform.
Background
The cardiac radiography is to insert a very thin catheter into your aorta, then inject contrast medium into the aortic blood through a small opening in front of the catheter, so that the X-ray can display the contrast medium flowing along the blood vessel in the form of the blood vessel and the heart on a display screen.
Examples of cardiac imaging include coronary angiography and cardiac (atrial, ventricular) imaging. Coronary angiography is the process of running a catheter such as a hairline along the artificial entrance of the radial artery (wrist) or femoral artery (thigh) to the coronary opening of the heart, and then injecting contrast medium (visualized under X-rays) into the coronary arteries, so that the internal morphology of the coronary arteries can be displayed, for example, whether the coronary arteries are stenosed, plaque, etc., but the heart morphology is basically unknown through the examination, and mainly the internal morphology of the coronary arteries and the blood flow velocity in the coronary arteries are also known.
Currently, when performing cardiac imaging operations on cardiac patients, the same dose of contrast medium is generally injected to all cardiac patients regardless of individual differences of the patients, however, smaller patients require a small amount of contrast medium to achieve a clear contrast effect, and larger patients require a larger amount of contrast medium to achieve a clear contrast effect.
Disclosure of Invention
In order to solve the technical problems in the related art, the invention provides an automatic cardiac radiography auxiliary platform which can estimate imaging data of the current patient by adopting a customized identification mechanism and adjust the cardiac radiography amount of the current patient in real time based on an estimation result so as to improve the utilization rate of cardiac radiography agents.
Compared with the prior art, the invention at least needs to have the following two outstanding essential characteristics:
(1) Estimating the volume of a patient currently needing to perform cardiac radiography to determine the total blood volume of the patient based on the estimated volume of the patient, and further determining the positively correlated contrast agent amount based on the total blood volume of the patient, thereby meeting the radiography requirements of patients with different volumes;
(2) An estimation process based on pixel count statistics is performed on the volume of the patient currently requiring cardiac imaging on a customized visual processing mechanism to obtain reference data that can be used for subsequent processing.
According to an aspect of the present invention, there is provided an automated cardiac imaging assistance platform, the platform comprising:
an insertion catheter for placement into the aorta of a current patient for injecting contrast medium into the blood inside the aorta;
a volume selection device connected to the catheter for determining a volume of contrast agent injected into the patient by the catheter, i.e. a current required volume;
the real-time video recording device is arranged above a sickbed where a current patient needing cardiac radiography is located and is used for performing real-time video recording operation on the surrounding environment of the sickbed so as to obtain a current video picture;
the primary layer processing device is connected with the real-time video recording device and is used for executing white balance processing on the received current video recording picture so as to obtain a corresponding primary layer processing picture;
the secondary layer processing device is connected with the primary layer processing device and is used for executing guide filtering processing on the received primary layer processing picture so as to obtain a corresponding secondary layer processing picture;
the last layer processing device is connected with the sub-layer processing device and is used for executing artifact elimination processing on the received sub-layer processing picture so as to obtain a corresponding last layer processing picture;
the parameter identification mechanism is connected with the last layer processing device and is used for identifying each human body acquisition block where each human body object in the last layer processing picture is located;
the content analysis mechanism is connected with the parameter identification mechanism and is used for acquiring depth of field values corresponding to each human body acquisition block where each human body object in the final processing picture is located respectively, comparing the depth of field values corresponding to each human body acquisition block where each human body object is located respectively and taking the human body acquisition block corresponding to the depth of field value with the smallest value as a target acquisition block;
the number detection mechanism is connected with the content analysis mechanism and is used for determining the corresponding blood estimated total amount based on the total number of pixel points of the final processing picture occupied by the target acquisition block;
the volume selection device is also connected with the number detection mechanism and is used for determining the current required volume in positive association with the estimated total blood volume and sending the determined current required volume to the contrast agent drive pump;
a contrast agent driven pump is disposed within the inserted catheter and is coupled to the volume selection device for delivering a corresponding volume of contrast agent drawn from a contrast agent reservoir into the inserted catheter based on a current desired volume received.
The automatic heart radiography auxiliary platform is reliable in logic and intelligent in design. The volume of the current patient can be estimated by adopting a customized identification mechanism, and the cardiac contrast medium amount of the current patient is regulated in real time based on the estimation result, so that the clear contrast requirements of cardiac patients with different volumes are met.
Detailed Description
Angiography, when injected with large doses of contrast agent, has many factors affecting its toxic effects. In angiography, the risk of poisoning is several times greater in the case of rapid injections than in the case of slow injections, mainly due to the hypertonic effect of the contrast agent, i.e. the newer formulations also have some chemical toxic effects. In certain cases, the tolerance of the heart muscle, brain, spinal cord or kidneys is reduced. As for the selection of the contrast agent, meglumine salt is preferably used for cerebral angiography, and sodium salt and meglumine salt mixture are preferably used for cardiac angiography. Angiography is less common than urography in that it has an allergic reaction, and it may be that the contrast agent does not pass directly through the lungs when angiographing. Of 167 cases with iodinated amide angiography, 6 developed mild allergic reactions. In the area of injection vascularity, skin bleeding points are occasional, which may be caused by embolization due to contamination of the cotton fibers or glove powder with saline used to flush the syringe or needle.
Currently, when performing cardiac imaging operations on cardiac patients, the same dose of contrast medium is generally injected to all cardiac patients regardless of individual differences of the patients, however, smaller patients require a small amount of contrast medium to achieve a clear contrast effect, and larger patients require a larger amount of contrast medium to achieve a clear contrast effect.
Embodiments of the automated cardiac imaging assistance platform of the present invention will be described in detail below.
In order to overcome the defects, the invention discloses an automatic heart radiography auxiliary platform which can effectively solve the corresponding technical problems.
An automated cardiac imaging assistance platform according to an embodiment of the present invention comprises:
an insertion catheter for placement into the aorta of a current patient for injecting contrast medium into the blood inside the aorta;
a volume selection device connected to the catheter for determining a volume of contrast agent injected into the patient by the catheter, i.e. a current required volume;
the real-time video recording device is arranged above a sickbed where a current patient needing cardiac radiography is located and is used for performing real-time video recording operation on the surrounding environment of the sickbed so as to obtain a current video picture;
the primary layer processing device is connected with the real-time video recording device and is used for executing white balance processing on the received current video recording picture so as to obtain a corresponding primary layer processing picture;
the secondary layer processing device is connected with the primary layer processing device and is used for executing guide filtering processing on the received primary layer processing picture so as to obtain a corresponding secondary layer processing picture;
the last layer processing device is connected with the sub-layer processing device and is used for executing artifact elimination processing on the received sub-layer processing picture so as to obtain a corresponding last layer processing picture;
the parameter identification mechanism is connected with the last layer processing device and is used for identifying each human body acquisition block where each human body object in the last layer processing picture is located;
the content analysis mechanism is connected with the parameter identification mechanism and is used for acquiring depth of field values corresponding to each human body acquisition block where each human body object in the final processing picture is located respectively, comparing the depth of field values corresponding to each human body acquisition block where each human body object is located respectively and taking the human body acquisition block corresponding to the depth of field value with the smallest value as a target acquisition block;
the number detection mechanism is connected with the content analysis mechanism and is used for determining the corresponding blood estimated total amount based on the total number of pixel points of the final processing picture occupied by the target acquisition block;
the volume selection device is also connected with the number detection mechanism and is used for determining the current required volume in positive association with the estimated total blood volume and sending the determined current required volume to the contrast agent drive pump;
a contrast agent driven pump is disposed within the inserted catheter and is coupled to the volume selection device for delivering a corresponding volume of contrast agent drawn from a contrast agent reservoir into the inserted catheter based on a current desired volume received.
Next, a further description of the specific structure of the automated cardiac imaging support platform of the present invention will be provided.
In the automated cardiac imaging assistance platform:
drawing a corresponding volume of contrast from a contrast storage container based on the received current demand volume into the inserted catheter comprises: the volume of contrast drawn from the contrast storage container is equal to the current required volume.
In the automated cardiac imaging assistance platform:
determining a corresponding estimated total amount of blood based on a total number of pixel points of the target acquisition block occupying the last layer processed picture comprises: the larger the value of the total number of pixel points of the final processing picture occupied by the target acquisition block, the larger the value of the corresponding blood estimated total amount is determined.
In the automated cardiac imaging assistance platform:
determining a current required volume in positive correlation with the estimated total blood volume comprises: the determined current demand volume does not maximally exceed the set volume threshold.
In the automated cardiac imaging assistance platform:
identifying each human body acquisition block where each human body object in the final layer processing picture is located respectively comprises the following steps: and identifying each human body acquisition block where each human body object in the final processing picture is located based on the standard geometric shape of the human body.
In the automated cardiac imaging assistance platform:
the method for acquiring the depth of field value corresponding to each human body acquisition block of each human body object in the final processing picture, comparing the depth of field value corresponding to each human body acquisition block of each human body object, and taking the human body acquisition block corresponding to the depth of field value with the smallest value as the target acquisition block comprises the following steps: and acquiring each depth of field value of each pixel point of the human body acquisition block where each human body object in the final processing picture is located, and taking the intermediate value of each depth of field value of each pixel point as the depth of field value of the human body acquisition block where the human body object is located.
In the automated cardiac imaging assistance platform:
the method for acquiring the depth of field value corresponding to each human body acquisition block of each human body object in the final processing picture, comparing the depth of field value corresponding to each human body acquisition block of each human body object, and taking the human body acquisition block corresponding to the depth of field value with the smallest value as the target acquisition block comprises the following steps: and sequencing the depth values corresponding to the human body acquisition blocks of the human body objects from large to small to obtain a corresponding depth value queue.
In the automated cardiac imaging assistance platform:
the method for acquiring the depth of field value corresponding to each human body acquisition block of each human body object in the final processing picture, comparing the depth of field value corresponding to each human body acquisition block of each human body object, and taking the human body acquisition block corresponding to the depth of field value with the smallest value as the target acquisition block comprises the following steps: and taking the depth of field value corresponding to the maximum sequence number in the depth of field value queue as the depth of field value with the minimum value, and taking the human body acquisition block corresponding to the depth of field value with the minimum value as the target acquisition block.
The automated cardiac imaging assistance platform may further include:
the signal temporary storage chip is connected with the content analysis mechanism and is used for temporarily storing depth values corresponding to the human body acquisition blocks where the human body objects are respectively located.
In addition, in the automatic cardiac radiography auxiliary platform, alternatively, obtaining depth values corresponding to respective human body acquisition blocks where respective human body objects in the final processing image are located, comparing the depth values corresponding to respective human body acquisition blocks where respective human body objects are located, and taking a human body acquisition block corresponding to a depth value with the smallest value as a target acquisition block includes: and acquiring each depth of field value of each pixel point of the human body acquisition block where each human body object in the final processing picture is located, and taking the depth of field value with the largest occurrence number in each depth of field value of each pixel point as the depth of field value of the human body acquisition block where the human body object is located.
Many details of the invention may be changed without departing from its spirit and scope. Furthermore, the foregoing description of the preferred embodiments of the invention is provided for the purpose of illustration only and not for the purpose of limiting the invention as defined by the appended claims and their equivalents.
Claims (9)
1. An automated cardiac imaging assistance platform, the platform comprising:
an insertion catheter for placement into the aorta of a current patient for injecting contrast medium into the blood inside the aorta;
a volume selection device connected to the catheter for determining a volume of contrast agent injected into the patient by the catheter, i.e. a current required volume;
the real-time video recording device is arranged above a sickbed where a current patient needing cardiac radiography is located and is used for performing real-time video recording operation on the surrounding environment of the sickbed so as to obtain a current video picture;
the primary layer processing device is connected with the real-time video recording device and is used for executing white balance processing on the received current video recording picture so as to obtain a corresponding primary layer processing picture;
the secondary layer processing device is connected with the primary layer processing device and is used for executing guide filtering processing on the received primary layer processing picture so as to obtain a corresponding secondary layer processing picture;
the last layer processing device is connected with the sub-layer processing device and is used for executing artifact elimination processing on the received sub-layer processing picture so as to obtain a corresponding last layer processing picture;
the parameter identification mechanism is connected with the last layer processing device and is used for identifying each human body acquisition block where each human body object in the last layer processing picture is located;
the content analysis mechanism is connected with the parameter identification mechanism and is used for acquiring depth of field values corresponding to each human body acquisition block where each human body object in the final processing picture is located respectively, comparing the depth of field values corresponding to each human body acquisition block where each human body object is located respectively and taking the human body acquisition block corresponding to the depth of field value with the smallest value as a target acquisition block;
the number detection mechanism is connected with the content analysis mechanism and is used for determining the corresponding blood estimated total amount based on the total number of pixel points of the final processing picture occupied by the target acquisition block;
the volume selection device is also connected with the number detection mechanism and is used for determining the current required volume in positive association with the estimated total blood volume and sending the determined current required volume to the contrast agent drive pump;
a contrast agent driven pump is disposed within the inserted catheter and is coupled to the volume selection device for delivering a corresponding volume of contrast agent drawn from a contrast agent reservoir into the inserted catheter based on a current desired volume received.
2. The automated cardiac imaging assistance platform as set forth in claim 1, wherein:
drawing a corresponding volume of contrast from a contrast storage container based on the received current demand volume into the inserted catheter comprises: the volume of contrast drawn from the contrast storage container is equal to the current required volume.
3. The automated cardiac imaging assistance platform as set forth in claim 1, wherein:
determining a corresponding estimated total amount of blood based on a total number of pixel points of the target acquisition block occupying the last layer processed picture comprises: the larger the value of the total number of pixel points of the final processing picture occupied by the target acquisition block, the larger the value of the corresponding blood estimated total amount is determined.
4. The automated cardiac imaging assistance platform as set forth in claim 1, wherein:
determining a current required volume in positive correlation with the estimated total blood volume comprises: the determined current demand volume does not maximally exceed the set volume threshold.
5. The automated cardiac imaging assistance platform as set forth in claim 1, wherein:
identifying each human body acquisition block where each human body object in the final layer processing picture is located respectively comprises the following steps: and identifying each human body acquisition block where each human body object in the final processing picture is located based on the standard geometric shape of the human body.
6. The automated cardiac imaging assistance platform as set forth in claim 1, wherein:
the method for acquiring the depth of field value corresponding to each human body acquisition block of each human body object in the final processing picture, comparing the depth of field value corresponding to each human body acquisition block of each human body object, and taking the human body acquisition block corresponding to the depth of field value with the smallest value as the target acquisition block comprises the following steps: and acquiring each depth of field value of each pixel point of the human body acquisition block where each human body object in the final processing picture is located, and taking the intermediate value of each depth of field value of each pixel point as the depth of field value of the human body acquisition block where the human body object is located.
7. The automated cardiac imaging assistance platform as set forth in claim 6, wherein:
the method for acquiring the depth of field value corresponding to each human body acquisition block of each human body object in the final processing picture, comparing the depth of field value corresponding to each human body acquisition block of each human body object, and taking the human body acquisition block corresponding to the depth of field value with the smallest value as the target acquisition block comprises the following steps: and sequencing the depth values corresponding to the human body acquisition blocks of the human body objects from large to small to obtain a corresponding depth value queue.
8. The automated cardiac imaging assistance platform as set forth in claim 7, wherein:
the method for acquiring the depth of field value corresponding to each human body acquisition block of each human body object in the final processing picture, comparing the depth of field value corresponding to each human body acquisition block of each human body object, and taking the human body acquisition block corresponding to the depth of field value with the smallest value as the target acquisition block comprises the following steps: and taking the depth of field value corresponding to the maximum sequence number in the depth of field value queue as the depth of field value with the minimum value, and taking the human body acquisition block corresponding to the depth of field value with the minimum value as the target acquisition block.
9. The automated cardiac angiography assistance platform of claim 1, wherein the system further comprises:
the signal temporary storage chip is connected with the content analysis mechanism and is used for temporarily storing depth values corresponding to the human body acquisition blocks where the human body objects are respectively located.
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| CN202111626482.8A CN116350873A (en) | 2021-12-28 | 2021-12-28 | Automatic heart radiography auxiliary platform |
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